Inside Precision Medicine October 26, 2022
A team of researchers from the University of California, San Francisco (UCSF) have developed an artificial intelligence (AI) model that can predict the likelihood of a cancer patient having an unplanned hospital stay during their chemoradiation therapy (CRT) regimen using daily step count data. The model’s performance, presented this week at the American Society for Radiation Oncology (ASTRO) Annual Meeting, has the potential to reduce the estimated 10% to 20% of patients receive chemotherapy or radiation treatments that will need acute care either in the ED or as a hospital inpatient.
“If you can anticipate a patient’s risk of unplanned hospitalization, you can change how you support them through their cancer treatments and reduce the likelihood that they will end...